Generalising symbolic knowledge in online classification and prediction Dazeley, Richard and Kang, B H 2009, Generalising symbolic knowledge in online classification and prediction, in Knowledge Acquisition: Approaches, Algorithms and Applications: Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, 2008, Revised Selected Papers, Springer, Berlin, Germany, pp. 91-108, doi: 10.1007/978-3-642-01715-5_8. Attached Files Name Description MIMEType Size Downloads Title Generalising symbolic knowledge in online classification and prediction Author(s) Dazeley, Richard orcid.org/0000-0002-6199-9685 Kang, B H Conference name Pacific Rim Knowledge Acquisitions. Workshop (2008 : Hanoi, Vietnam) Conference location Hanoi, Vietnam Conference dates 2008/12/15 - 2008/12/16 Title of proceedings Knowledge Acquisition: Approaches, Algorithms and Applications: Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, 2008, Revised Selected Papers Editor(s) Richards, D Kang, BH Publication date 2009 Series Lecture Notes in Artificial Intelligence Start page 91 End page 108 Total pages 18 Publisher Springer Place of publication Berlin, Germany Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science Hidden context knowledge based systems knowledge representation ripple-down rules situation cognition ISBN 9783642017148 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-642-01715-5_8 Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30125401 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 10 Jul 2019, 15:52:50 EST Thu, 11 Jul 2019, 05:03:26 EST Thu, 11 Jul 2019, 06:05:32 EST Thu, 07 Jan 2021, 10:05:21 EST Thu, 07 Jan 2021, 10:06:55 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 55 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Wed, 10 Jul 2019, 15:52:50 EST

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